Dec 7, 2019   1:26 p.m. Ambróz
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prof. Ing. Milan Žalman, PhD.
Identification number: 4928
University e-mail: milan.zalman [at] stuba.sk
 
External colleague - Institute of Applied Informatics, Automation and Mechatronics (MTF)
External colleague - Faculty of Electrical Engineering and Information Technology (STU)

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Basic information

Basic information about a final thesis

Type of thesis: Dissertation thesis
Thesis title:Self-commissioning speed servo drive with induction motor
Written by (author): Ing. Jakub Vonkomer, PhD.
Department: Institute of Robotics and Cybernetics (FEEIT)
Thesis supervisor: prof. Ing. Milan Žalman, PhD.
Opponent 1:prof. Ing. Ján Vittek, PhD.
Opponent 2:prof. Ing. Daniela Perduková, PhD.
Final thesis progress:Final thesis was successfully defended.


Additional information

Additional information about the final thesis follows. Click on the language link to display the information in the desired language.

Language of final thesis:Slovak

Slovak        English

Title of the thesis:Self-commissioning speed servo drive with induction motor
Summary:Thesis focuses on the design and verification of advanced control methods of induction motors, using the principles of adaptation and self-commissioning on the basis of continuous parameter identification. The main objective of the thesis was focused on the design of new techniques for self-commissioning of the converter parameters for sensorless vector control. This objective consisted of a theoretical analysis of the problem, which lied both in the design of modern methods of identification as well as the design of self-tuning control algorithms, using the results of the on-line identification. Theoretical knowledge of self-tuning controller algorithm design was effectively transferred into practical algorithms written in C programming language; it is now practically usable for a very wide range of speed and is successfully used in the frequency converter VONSCH UNIFREM 400 as part of the basic firmware since the version 2.020. Based on the proposed methods of vector control, performance analysis and experimental results; high quality and effectiveness of the proposed methods and algorithms for induction motor control can be reported.
Key words:self-commissioning, vector control, induction motor, Luenberger observer, stabilization, on-line identification

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Parts of thesis with postponed release:

Final thesis (final thesis appendices) unlimited
Reviews for final thesis unlimited